Literature DB >> 18757560

A systematic methodology for defining coarse-grained sites in large biomolecules.

Zhiyong Zhang1, Lanyuan Lu, Will G Noid, Vinod Krishna, Jim Pfaendtner, Gregory A Voth.   

Abstract

Coarse-grained (CG) models of biomolecules have recently attracted considerable interest because they enable the simulation of complex biological systems on length-scales and timescales that are inaccessible for atomistic molecular dynamics simulation. A CG model is defined by a map that transforms an atomically detailed configuration into a CG configuration. For CG models of relatively small biomolecules or in cases that the CG and all-atom models have similar resolution, the construction of this map is relatively straightforward and can be guided by chemical intuition. However, it is more challenging to construct a CG map when large and complex domains of biomolecules have to be represented by relatively few CG sites. This work introduces a new and systematic methodology called essential dynamics coarse-graining (ED-CG). This approach constructs a CG map of the primary sequence at a chosen resolution for an arbitrarily complex biomolecule. In particular, the resulting ED-CG method variationally determines the CG sites that reflect the essential dynamics characterized by principal component analysis of an atomistic molecular dynamics trajectory. Numerical calculations illustrate this approach for the HIV-1 CA protein dimer and ATP-bound G-actin. Importantly, since the CG sites are constructed from the primary sequence of the biomolecule, the resulting ED-CG model may be better suited to appropriately explore protein conformational space than those from other CG methods at the same degree of resolution.

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Year:  2008        PMID: 18757560      PMCID: PMC2586547          DOI: 10.1529/biophysj.108.139626

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  38 in total

1.  Image reconstructions of helical assemblies of the HIV-1 CA protein.

Authors:  S Li; C P Hill; W I Sundquist; J T Finch
Journal:  Nature       Date:  2000-09-21       Impact factor: 49.962

Review 2.  Molecular dynamics simulations of biomolecules.

Authors:  Martin Karplus; J Andrew McCammon
Journal:  Nat Struct Biol       Date:  2002-09

Review 3.  Voronoi and Voronoi-related tessellations in studies of protein structure and interaction.

Authors:  Anne Poupon
Journal:  Curr Opin Struct Biol       Date:  2004-04       Impact factor: 6.809

4.  A natural coarse graining for simulating large biomolecular motion.

Authors:  Holger Gohlke; M F Thorpe
Journal:  Biophys J       Date:  2006-06-30       Impact factor: 4.033

5.  Dynamic protein domains: identification, interdependence, and stability.

Authors:  Semen O Yesylevskyy; Valery N Kharkyanen; Alexander P Demchenko
Journal:  Biophys J       Date:  2006-04-21       Impact factor: 4.033

Review 6.  Multiscale modeling of biomolecular systems: in serial and in parallel.

Authors:  Gary S Ayton; Will G Noid; Gregory A Voth
Journal:  Curr Opin Struct Biol       Date:  2007-03-23       Impact factor: 6.809

7.  Spectral coarse graining and synchronization in oscillator networks.

Authors:  David Gfeller; Paolo De Los Rios
Journal:  Phys Rev Lett       Date:  2008-05-02       Impact factor: 9.161

8.  Model-free methods of analyzing domain motions in proteins from simulation: a comparison of normal mode analysis and molecular dynamics simulation of lysozyme.

Authors:  S Hayward; A Kitao; H J Berendsen
Journal:  Proteins       Date:  1997-03

9.  Mixed atomistic and coarse-grained molecular dynamics: simulation of a membrane-bound ion channel.

Authors:  Qiang Shi; Sergei Izvekov; Gregory A Voth
Journal:  J Phys Chem B       Date:  2006-08-10       Impact factor: 2.991

10.  Crystal structure of monomeric actin in the ATP state. Structural basis of nucleotide-dependent actin dynamics.

Authors:  Philip Graceffa; Roberto Dominguez
Journal:  J Biol Chem       Date:  2003-06-17       Impact factor: 5.157

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  45 in total

1.  Multiscale computer simulation of the immature HIV-1 virion.

Authors:  Gary S Ayton; Gregory A Voth
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

Review 2.  Selection on protein structure, interaction, and sequence.

Authors:  Peter B Chi; David A Liberles
Journal:  Protein Sci       Date:  2016-02-11       Impact factor: 6.725

3.  PRIMO: A Transferable Coarse-grained Force Field for Proteins.

Authors:  Parimal Kar; Srinivasa Murthy Gopal; Yi-Ming Cheng; Alexander Predeus; Michael Feig
Journal:  J Chem Theory Comput       Date:  2013-08-13       Impact factor: 6.006

Review 4.  Advances in coarse-grained modeling of macromolecular complexes.

Authors:  Alexander J Pak; Gregory A Voth
Journal:  Curr Opin Struct Biol       Date:  2018-11-30       Impact factor: 6.809

5.  Systematic multiscale parameterization of heterogeneous elastic network models of proteins.

Authors:  Edward Lyman; Jim Pfaendtner; Gregory A Voth
Journal:  Biophys J       Date:  2008-07-25       Impact factor: 4.033

6.  Effects of ATP and actin-filament binding on the dynamics of the myosin II S1 domain.

Authors:  Joseph L Baker; Gregory A Voth
Journal:  Biophys J       Date:  2013-10-01       Impact factor: 4.033

7.  Nucleotide-dependent conformational states of actin.

Authors:  Jim Pfaendtner; Davide Branduardi; Michele Parrinello; Thomas D Pollard; Gregory A Voth
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-20       Impact factor: 11.205

8.  Order parameters for macromolecules: application to multiscale simulation.

Authors:  A Singharoy; S Cheluvaraja; P Ortoleva
Journal:  J Chem Phys       Date:  2011-01-28       Impact factor: 3.488

9.  Charge density distributions derived from smoothed electrostatic potential functions: design of protein reduced point charge models.

Authors:  Laurence Leherte; Daniel P Vercauteren
Journal:  J Comput Aided Mol Des       Date:  2011-09-14       Impact factor: 3.686

10.  Optimal identification of semi-rigid domains in macromolecules from molecular dynamics simulation.

Authors:  Stefan Bernhard; Frank Noé
Journal:  PLoS One       Date:  2010-05-13       Impact factor: 3.240

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